Jiayu (Mila) Wang

Jiayu (Mila) Wang

Senior Research Scientist · Salesforce AI Research

I'm Jiayu (pronounced “Jee-ah-yü Wahng”), a Senior Research Scientist at Salesforce AI Research. I'm passionate about building efficient and intelligent agentic systems. Before Salesforce, I did my PhD in Computer Sciences at UW-Madison, advised by Prof. Aws Albarghouthi and Prof. Fred Sala (Sprocket Lab).

My recent work focuses on:

I'm always happy to discuss research, answer questions, or just chat! The best way to reach me is to open a GitHub issue, send an email — jiayuwang@salesforce.com for work-related topics or milawang0223@gmail.com for personal ones — or message me on LinkedIn.

Jiayu (Mila) Wang

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Publications

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arXiv2609.04280

EvoHarnessBench: Can Your Agents Keep Pace with an Evolving Harness?New

Zixuan Ke, Vaidehi Patil, Haizhou Shi, Yang Li, Ye Liu, Sarath Shekkizhar, Anurag Koul, Jiayu Wang, Xuan-Phi Nguyen, Semih Yavuz, Mohit Bansal, Shafiq Joty

A benchmark for agents whose tools, skills, and specialist agents keep changing — showing that harness expansion alone can make agents forget tasks they used to solve.

2026
SkillOrchestra results

SkillOrchestra: Learning to Route Agents via Skill Transfer

Jiayu Wang, Yifei Ming, Zixuan Ke, Shafiq Joty, Aws Albarghouthi, Frederic Sala

Learns transferable skills and per-model competence profiles to route compound AI systems — 700× cheaper to learn than Router-R1.

NeurIPS, 2026
MAS-Orchestra overview

MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks

Zixuan Ke, Yifei Ming, Austin Xu, Ryan Chin, Xuan-Phi Nguyen, Prathyusha Jwalapuram, Jiayu Wang, Semih Yavuz, Caiming Xiong, Shafiq Joty
ICML, 2026
LiveResearchBench overview

LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

Jiayu Wang*, Yifei Ming*, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty

A live benchmark for deep research, with an evaluation suite that closely aligns with human judgment across six dimensions.

ICLR, 2026
arXiv2510.13913

Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms

Shrey Pandit, Xuan-Phi Nguyen, Yifei Ming, Austin Xu, Jiayu Wang, Caiming Xiong, Shafiq Joty
2025
SPARKLE overview

Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning

Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala

SPARKLE: what exactly does RL improve? Dissects reasoning into plan-following, problem decomposition, and knowledge use — and shows how to turn hard problems into training signal.

NeurIPS, 2025
Helpful Agent Meets Deceptive Judge overview

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows

Yifei Ming, Zixuan Ke, Xuan-Phi Nguyen, Jiayu Wang, Shafiq Joty
2025
COSMOS overview

COSMOS: Predictable and Cost-Effective Adaptation of LLMs

Jiayu Wang, Aws Albarghouthi, Frederic Sala

Accurately and efficiently predicts the performance and cost of training- and test-time adaptation strategies — smarter choices, fewer experiments.

2025
SpatialEval overview

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi
NeurIPS, 2024
Grammar-Aligned Decoding overview

Grammar-Aligned Decoding

Kanghee Park*, Jiayu Wang*, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
NeurIPS, 2024

* equal contribution

Misc

Outside of research, I love playing tennis 🎾 and try to get on the court as often as I can — usually 4–5 times a week.